code: def test_gaussian(backend_default, args):
      be = NervanaObject.be
      dim1, dim2 = args
      shape = (dim1, dim2)
      Wdev = be.empty(shape)
      gaussian_init = Gaussian(loc=10000, scale=1)
      gaussian_init.fill(Wdev)
      Whost = Wdev.get()
      flat = Whost.flatten()
      for elt in flat:
          # Not a very robust test...
          assert elt >= 0
  
      return
  
file_path: neon/tests/test_initializers.py
imports: import itertools
  import numpy
  from neon import NervanaObject
  from neon.initializers.initializer import Array, Constant, Uniform, Gaussian, GlorotUniform
label_desc: Use image node_id 5 for calling a global function with example usage: test_gaussian(backend_default, args) without return types